Text Classification
Transformers
Safetensors
English
qwen3
reward
RM
Code
CodeScaler
text-embeddings-inference
Instructions to use LARK-Lab/CodeScaler-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LARK-Lab/CodeScaler-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LARK-Lab/CodeScaler-8B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LARK-Lab/CodeScaler-8B") model = AutoModelForSequenceClassification.from_pretrained("LARK-Lab/CodeScaler-8B") - Notebooks
- Google Colab
- Kaggle
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src="https://img.shields.io/badge/Paper-Arxiv-red?logo=arxiv&logoColor=red"
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<a href="https://huggingface.co/collections/LARK-Lab/codescaler">
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alt="CodeScaler on Hugging Face"
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<a href="https://github.com/LARK-AI-Lab/CodeScaler">
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<a href="https://lark-ai-lab.github.io/codescaler.github.io/">
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<a href="https://huggingface.co/collections/LARK-Lab/codescaler">
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